ArticleBiomedical optics express2018
Optical property uncertainty estimates for spatial frequency domain imaging.
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Development of a statistically standardized optical digital wrist model through integrated MRI-diffuse optical imaging methodology.Journal of biomedical optics · 2025Article
- Structured light imaging mesoscopy: detection of embedded morphological changes in superficial tissues.Journal of biomedical optics · 2025Article
- Structured light imaging mesoscopy: application to skin changes in scleroderma.Biophotonics discovery · 2025Article
- Tutorial on methods for estimation of optical absorption and scattering properties of tissue.Journal of biomedical optics · 2024Article
- Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging.Journal of biomedical optics · 2024Article
- Designing and simulating realistic spatial frequency domain imaging systems using open-source 3D rendering software.Biomedical optics express · 2023Article
- Extracting Tissue Optical Properties and Detecting Bruised Tissue in Pears Quickly and Accurately Based on Spatial Frequency Domain Imaging and Machine Learning.Foods (Basel, Switzerland) · 2023Article
- Visible near-infrared hyperspectral imaging and supervised classification for the detection of small intestinal necrosis tissue in vivo.Biomedical optics express · 2022Article
- Quantitative spatial mapping of tissue water and lipid content using spatial frequency domain imaging in the 900- to 1000-nm wavelength region.Journal of biomedical optics · 2022Article
- Shortwave infrared spatial frequency domain imaging for non-invasive measurement of tissue and blood optical properties.Journal of biomedical optics · 2022Article
- Wavelength and frequency optimization in spatial frequency domain imaging for two-layer tissue.Biomedical optics express · 2022Article
- Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models.IEEE transactions on medical imaging · 2021Article
- Speckle illumination SFDI for projector-free optical property mapping.Optics letters · 2021Article
- Direct mapping from diffuse reflectance to chromophore concentrations in multi-Biomedical optics express · 2021Article
- Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content.Nature communications · 2020Article
- OpenSFDI: an open-source guide for constructing a spatial frequency domain imaging system.Journal of biomedical optics · 2020Article
- Optical sampling depth in the spatial frequency domain.Journal of biomedical optics · 2019Article
- Spatial frequency domain imaging in 2019: principles, applications, and perspectives.Journal of biomedical optics · 2019Review
- Microvascular imaging of the skin.Physics in medicine and biology · 2019Review
- Quantitative real-time pulse oximetry with ultrafast frequency-domain diffuse optics and deep neural network processing.Biomedical optics express · 2018Article
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5 authors.
Funding
Abstract
Spatial frequency domain imaging (SFDI) is a wide-field diffuse optical imaging modality that has attracted considerable interest in recent years. Typically, diffuse reflectance measurements of spatially modulated light are used to quantify the optical absorption and reduced scattering coefficients of tissue, and with these, chromophore concentrations are extracted. However, uncertainties in estimated absorption and reduced scattering coefficients are rarely reported, and we know of no method capable of providing these when look-up table (LUT) algorithms are used to recover the optical properties. We present a method to generate optical property uncertainty estimates from knowledge of diffuse reflectance measurement errors. By employing the Cramér-Rao bound, we can quickly and efficiently explore theoretical SFDI performance as a function of spatial frequencies and sample optical properties, allowing us to optimize spatial frequency selection for a given application. In practice, we can also obtain useful uncertainty estimates for optical properties recovered with a two-frequency LUT algorithm, as we demonstrate with tissue-simulating phantom and
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